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20132019
most citedReplica analysis of overfitting in regression models for time-to-event data

24 citations · 33 across the 6 of their papers we have counts for

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Showing 2013Show all

2 papers · 1 filter

math.ST2013★ 9 cited

Gaussian process regression for survival data with competing risks

James E. Barrett, Anthony C. C. Coolen

We apply Gaussian process (GP) regression, which provides a powerful non-parametric probabilistic method of relating inputs to outputs, to survival data consisting of time-to-event…

stat.ML2013

Dimensionality Detection and Integration of Multiple Data Sources via the GP-LVM

James Barrett, Anthony C. C. Coolen

The Gaussian Process Latent Variable Model (GP-LVM) is a non-linear probabilistic method of embedding a high dimensional dataset in terms low dimensional `latent' variables. In thi…